software engineering practices , Machine Learning, Databricks, Azure, Python, Kubernetes, AWS, GenAI, AI evaluation frameworks, Ai, Agentic AI applications, MLflow, Monitoring solutions, Llm, CI/CD pipelines, RAG, Cloud AI/ML platforms, Observability

.NET, Sql, Angular, Tensorflow, Nosql, Nlp, Pytorch, Docker, Opencv, Microsoft Azure, Kubernetes, Ocr, Python, embeddings, Computer Vision frameworks, vector databases, Generative AI LLM, prompt engineering, YOLO, RAG, AI agents

Logging, Typescript, Javascript, middleware, Python, Apis, Testing, Git, Containers, FastAPI, GenAI, search platform, Pydantic, vector database, LLMs, agent framework, webhooks, enterprise AI platform, queues, MCP, integrating enterprise systems, async programming, managed identities, error handling, agentic AI applications

Kubernetes, Ml, Angular, Vue.JS, Python, Golang, Docker, Rust, React, Ai, GenAI, LangGraph

LangChain

.NET, Cosmos DB, Typescript, React, Azure Functions, Angular, Kubernetes, Python, Docker, Terraform, Microsoft Azure, Next.js, Service Bus, AKS, Event Grid, Bicep, Semantic Kernel, Azure Container Apps, Infrastructure as Code, AutoGen, Azure AI Search, LangGraph

MLops, Apis, AI Infrastructure, infrastructure components, internal tools, RAG, Agentic AI, emerging AI models, AI agents, AI Engineering

Pytorch, Python, Tensorflow, MLops, RAG frameworks, cloud environments, scalable infrastructure, advanced prompt engineering, LLM fine-tuning, LLM orchestration

Python, Javascript, prompt engineering, LLMs

Python, AWS, Generative AI, Agentic AI, Azure AI, CI/CD